• The Journal of Society for e-Business Studies
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• v.9 no.3
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• pp.155-167
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• 2004

At this time, the two main techniques for achieving web personalization assistant systems generally concern direct manipulation and software agents. While both direct manipulation and software agents are intended for permitting user to complete tasks rapidly, efficiently, and easily, their methodologies are different. The central debate involving these web personalization techniques originates from the amount of control that each allows to, or holds back from, the users. Direct manipulation can provide users with comprehensibel, predictable and controllable user interfaces that give them a feeling of accomplishnent and responsibility. On the other hand, the intelligent software components, the agents, can assist users with artificial intelligence by monitoring or retrieving personal histories or behaviors. In this empirical study, two web personalization assistant systems are evaluated. One of them, WebPersonalizer, is an agent based user personalization tool; the other, AntWorld, is a collaborative recommendation tool which provides direct manipulation interfaces. Through this empirical study, we have focused on two different paradigms as web personalization assistant systems : direct manipulation and software agents. Each approach has its own advantages and disadvantages. We also provide the experimental result that is worth referring for developers of electronic commerce system and suggest the methodologies for conveniently retrieving necessary information based on their personal needs.

• The KIPS Transactions:PartB
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• v.15B no.5
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• pp.449-456
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• 2008

This paper proposed the agent-based web service platform that works toward providing coordination technique on web environment. The system described in this paper is designed and implemented to support web services between agents while maintaining web service module. The agent perform user's request dynamically with the proposed LDL, and it offer possibility of coordinated web services by performing commitment process to perform their goals with mutual cooperation for grouped agents. On experiments to check an implemented system, we found that the cost of module retrieval time is reduced and users are accessible.

• ETRI Journal
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• v.46 no.3
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• pp.473-484
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• 2024

We introduce a machine learning-based web application to help travel agents plan a package tour schedule. K-nearest neighbor (KNN) classification predicts the optimal tourists' dwelling time based on a variety of information to automatically generate a convenient tour schedule. A database collected in collaboration with an established travel agency is fed into the KNN algorithm implemented in the Python language, and the predicted dwelling times are sent to the web application via a RESTful application programming interface provided by the Flask framework. The web application displays a page in which the agents can configure the initial data and predict the optimal dwelling time and automatically update the tour schedule. After conducting a performance evaluation by simulating a scenario on a computer running the Windows operating system, the average response time was 1.762 s, and the prediction consistency was 100% over 100 iterations.

• Proceedings of the CALSEC Conference
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• 2004.02a
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• pp.191-196
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• 2004

Web Service ·A software application identified by a URI, whose interface and bindings are capable of being defined, described, and discovered as XML artifacts A Web service supports direct interactions with other software agents using XML-based messages exchanges via Internet-based protocols(W3C) ·Utilize the WWW infrastructure ·Example ： http：//etech.kaist.ac.kr：8080/search.html(omitted)

• Journal of the Korea Computer Industry Society
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• v.4 no.10
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• pp.621-630
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• 2003

Web logs are the information recorded by a web server when users access the web sites, and due to a speedy rising of internet usage, the worth of their practical use has become increasingly important. Analyzing such logs can use to determine the patterns representing users' navigational behavior in a Web site and restructure a Web site to create a more effective organizational presence. For these applications, the generally used key methods in many studies are association rules and sequential patterns based by Apriori algorithms, which are widely used to extract correlation among patterns. But Apriori inhere inefficiency in computing cost when applied to large databases. In this paper, we develop a new algorithm for mining interesting patterns which is faster than Apriori algorithm and recommendation agents which could provide a system manager with valuable information that are accessed sequentially by many users.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.6
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• pp.187-193
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• 2013

In multi-agent systems, How to coordinate the behaviors of the agents through learning is a very important problem. The most important problems in the multi-agent system are to accomplish a goal through the efficient coordination of several agents and to prevent collision with other agents. In this paper, we propose a novel approach by using hybrid learning strategy. It is used hybrid learning strategy to control the multi-agent system efficiently by using the spatial relationship among the agents. Through experiments, we can see approximate faster the goal then other strategies and avoids collision among the agents.

• Journal of Industrial Technology
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• v.25 no.A
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• pp.175-182
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• 2005

SNMP is a standard protocol for management of networking devices. Nowadays, most computer systems have capability to act as SNMP agents. In this paper, we describe our system monitoring software based on SNMP. It consists of a monitoring server, SNMP agents, and client programs. The monitoring server collects status information from the SNMP agents running on the monitoring target graphical display. We developed two version of clients, Java based standalone program and Web based program. Since most known SNMP packages are too big and heavy, we developed an efficient version of SNMP library for out system monitoring.

• Journal of the Korean Operations Research and Management Science Society
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• v.30 no.1
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• pp.187-198
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• 2005

The structure of a Web site can prevent the search robots or crawling agents from confusion in the midst of huge forest of the Web pages. We formalize the view on the World Wide Web and generalize it as a hierarchy of Web objects such as the Web as a set of Web sites, and a Web site as a directed graph with Web nodes and Web edges. Our approach results in the optimal hierarchical structure that can maximize the weight, tf-idf (term frequency and inverse document frequency), that is one of the most widely accepted content centric measures in the information retrieval community, so that the measure can be used to embody the semantics of search query. The experimental results represent that the optimization model is an effective alternative in the dynamically changing Web environment by replacing conventional heuristic approaches.

• Journal of KIISE:Software and Applications
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• v.29 no.4
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• pp.225-234
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• 2002

The developers of mobile agent systems are considering integrating the system into the web and the developers of web servers are also considering supporting mobile agents in the future. But they are not clearly suggesting the relationship between web programming which has basically client/server architecture and mobile agent programming which is based on autonomous code mobility. In this paper, firstly, we clarify the method for integrating mobile agent programming into web programming by suggesting the model for mobile agent programming on the web. Secondly, by developing APIs for Java which is widely used for both web programming and mobile agent programming, we made it possible for programmers to use them for programming mobile agent on the web. Thirdly, we show the usefulness of the proposed model by adding and testing modules for execution environment of mobile agents on W3C's Java based web server, Jigsaw.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.1
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• pp.39-45
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• 2007

In this paper, we developed an intelligent web based e-learning system based on multi agents. To do development of the system, we applied an inclination test that is based on the education theory to do grouping the desirable e-learning community. The proposed system, Intelligent Web based e-learning Multi Agent System (IMAS), is used the multi agents paradigm including learning manner by neural network for grouping of e-learning community and a new distributed multi agent framework proposed here.